ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume VIII-4/W1-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4/W1-2021, 49–56, 2021
https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-49-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4/W1-2021, 49–56, 2021
https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-49-2021

  03 Sep 2021

03 Sep 2021

ON RAIN INFORMATION AS MAP FEATURES FOR CAR NAVIGATION SYSTEMS

M. Gebert, T. Berroth, and J.-E. Navarro-Barrientos M. Gebert et al.
  • MBition GmbH, Daimler AG, Dovestrasse 1, 10587 Berlin, Germany

Keywords: rain radar, weather, microservices, cloud computing, digital mapping, map features

Abstract. In this paper we present a design concept, architecture and implementation of a microservice to process and integrate rain information into a car navigation system in the form of rain map features. Two different input data sources are considered: QuadTile JSON format and GeoTIFF images. Our system converts this input data into an ouput GeoJSON format with only the most relevant information for the map overlay system in the navigation system of the car. We discuss different options for the cloud appearance, like color, shape and transparency. We present our microservices architecture together with data pipelines and implementation. Our approach allows for low latency and spare computing resources, which are especially needed in embedded systems. Finally, we discuss the advantages and disadvantages of our approach as well as further work.